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D-A-CH Conference on Energy Informatics

EI 2015: Energy Informatics pp 3–11Cite as

SWARM - Increasing Households’ Internal PV Consumption and Offering Primary Control Power with Distributed Batteries

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9424))

Abstract

This Research in Progress Paper deals with a simulation approach for a virtual mass storage composed of small distributed battery energy storage units, installed in households with a roof-top photovoltaic system. On the one hand the household’s internal consumption of photovoltaic energy is maximized and on the other hand primary control reserve power is provided by a central storage controller. This concept is academically approved and rolled out in the field within this project. First simulation results show a household’s benefit of installing a battery energy storage system and an accurate working of the implemented virtual mass storage.

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Acknowledgments

D. Steber and P. Bazan are also a members of “Energy Campus Nürnberg", Fürther Str. 250, 90429 Nürnberg, Germany. Their research was performed as part of the “Energy Campus Nürnberg" and supported by funding through the “Aufbruch Bayern (Bavaria on the move)" initiative of the Bavarian state.

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Authors and Affiliations

  1. Chair of Computer Networks and Communication Systems, Friedrich-Alexander-University Erlangen-Nürnberg, Martensstr. 3, 91058, Erlangen, Germany

    David Steber, Peter Bazan & Reinhard German

Authors
  1. David Steber
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  2. Peter Bazan
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  3. Reinhard German
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Corresponding author

Correspondence to David Steber .

Editor information

Editors and Affiliations

  1. FZI Forschungszentrum Informatik, Karlsruhe, Germany

    Sebastian Gottwalt

  2. Institut AIFB, KIT, Karlsruhe, Germany

    Lukas König

  3. Institut AIFB, KIT, Karlsruhe, Germany

    Hartmut Schmeck

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© 2015 Springer International Publishing Switzerland

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Steber, D., Bazan, P., German, R. (2015). SWARM - Increasing Households’ Internal PV Consumption and Offering Primary Control Power with Distributed Batteries. In: Gottwalt, S., König, L., Schmeck, H. (eds) Energy Informatics. EI 2015. Lecture Notes in Computer Science(), vol 9424. Springer, Cham. https://doi.org/10.1007/978-3-319-25876-8_1

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  • DOI: https://doi.org/10.1007/978-3-319-25876-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25875-1

  • Online ISBN: 978-3-319-25876-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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